2020
DOI: 10.1016/j.matpr.2020.06.416
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Prospective of nanolubricants and nano refrigerants on energy saving in vapour compression refrigeration system – A review

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Cited by 15 publications
(3 citation statements)
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“…), the type of nanoparticles (Al2O3, ZnO, TiO2 etc.) and the concentration of nanoparticles [53]. For instance, Adelekan et al [54] tested the combination of TiO2 nanoparticles with R600a (isobutane) refrigerant with different concentrations of nanoparticles and of refrigerant.…”
Section: Research Challengesmentioning
confidence: 99%
“…), the type of nanoparticles (Al2O3, ZnO, TiO2 etc.) and the concentration of nanoparticles [53]. For instance, Adelekan et al [54] tested the combination of TiO2 nanoparticles with R600a (isobutane) refrigerant with different concentrations of nanoparticles and of refrigerant.…”
Section: Research Challengesmentioning
confidence: 99%
“…The solubility and miscibility of the coolant-oil mixture with nanoparticle additives was improved by up to 12 % and showed a 24 % COP improvement. On the other hand, Senthilkumar [19] in their prospective study of nanolubricants and nanorefrigerants on energy savings in the vapor compression refrigeration system point out that, in the R410A refrigeration system, COPs of 4 were obtained, likewise a 8 % with 0.1 % and 0.5 % and 7 % cooling capacity using diamond nanoparticles.…”
Section: Introductionmentioning
confidence: 99%
“…Jatinder et al [15] performed experiment in R600a refrigerator and resulted in increase in cooling effect of 17.39 percent and COP by 62.54 percent compared to LPG refrigerator.Senthilkumar et al [16] performed review, studied the effect of various nanorefrigerants and nanolubricants at various mass charges and concentrations, and clearly explained how it influences the improvement in COP and cooling effect and decrease in energy used by compressor. Jatinder gill et al [17] used TiO 2 nanoparticles in the LPG refrigerator and observed that increase in COP and cooling effect by 10.15 to 61.49 percent and 18.74 to 31.72 percent in comparison with R134a refrigerator.Raghunatha reddy et al [18] implemented the ANN technique and used backward back propagation and levenberg training and predicted the variables COP, cooling effect and power consumed by the compressor.…”
Section: Introductionmentioning
confidence: 99%